Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add controlplane-com/ai-plugin --skill setup-agentgit clone --depth 1 https://github.com/controlplane-com/ai-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/controlplane-com/ai-plugin/setup-agent)<a href="https://agentmods.dev/skills/controlplane-com/ai-plugin/setup-agent"><img src="https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/setup-agent/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/controlplane-com/ai-plugin/setup-agent"><img src="https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/setup-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00050 | $0.01835 |
| Opus 5.5 | $0.00020 | $0.00734 |
| Sonnet 5.5 | $0.00010 | $0.00367 |
| Haiku 4.5 | $0.00005 | $0.00184 |
Grade A, and why
setup-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 17d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Setup
Tool availability: the agent and identity network-resource tools need
?toolsets=full; reconnect with it or use the CLI.
A wormhole agent is a lightweight VM or container you run inside the target network. It opens a persistent outbound connection to Control Plane and tunnels workload traffic to any TCP/UDP endpoint on the private side — VPC, on-prem, data center, Azure VNet, cross-cloud, or a laptop. A workload reaches the endpoint by attaching an identity (gvc-scoped) that carries a networkResources entry pointing at the agent. No external egress firewall rule is needed.
Scope: this is the deploy walkthrough — create the agent, deploy it on your platform, wire up the identity, verify. For the PrivateLink/PSC-vs-agent comparison, agent sizing tables, the full identity schema, and agent permissions, read native-networking. For the cloud-credential side (AWS/GCP/Azure access without an agent), read setup-cloud-access.
Before you start
Confirm with the user: what private resource the workload must reach (host/IP + ports), where it lives (cloud/VPC/on-prem/cluster), the org, and whether an agent already exists (list_resources kind="agent"). Reach for an agent only when PrivateLink/PSC does not fit — for an AWS or GCP managed service, native networking is lower-latency and needs no agent (see native-networking). An agent is right for on-prem, cross-cloud, Azure, or local development. Check which direction the user means: an agent lets a Control Plane workload reach into their network; it does not run the workload on their hardware. For that — bare metal, on-prem VMs, a data-center server as a deployment target — the answer is a BYOK location (mk8s-byok).
Step 1 — Create the agent
If the user asked you to set one up, create it directly; only list first when they want to reuse an existing one. Call create_agent (org, name, optional description): it returns the Console link where the user creates the agent and downloads the bootstrap config; the config never passes through the chat.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 17d ago Changed · -14 lines 4b0d8bfc5f3c
- 1mo ago First seen · 98 lines · 50 tokens per session scan A 9316a809427c
setup-agent is a skill published in the GitHub repository controlplane-com/ai-plugin (11 stars, last pushed 3d ago), licensed MIT. It adds 50 tokens to every session and 1,835 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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